Sort by
Refine Your Search
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Utrecht University
- Leiden University
- Eindhoven University of Technology (TU/e)
- University of Groningen
- Radboud University
- University of Twente (UT)
- European Space Agency
- University of Twente
- Wageningen University & Research
- Maastricht University (UM)
- Radboud University Medical Center (Radboudumc)
- University of Utrecht
- Vrije Universiteit Amsterdam (VU)
- Erasmus University Rotterdam
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- SRON
- Universiteit Leiden
- 9 more »
- « less
-
Field
-
researcher, you will play a central role in this ambitious programme and act as a technological integrator across multiple research tracks. You will work closely with three PhD candidates focusing on different
-
learning to understand and predict the behavior of cardiovascular tissues and organs across scales. You will work closely with PhD students, MSc students, and international VITAL partners. This is a full
-
learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern
-
inside and outside our research group to stength the research outcome. Job requirements A PHD degree in a relevant subject, such as aerospace engineering, aeronatucial engineering, atmospheric sciences
-
We are seeking a postdoctoral researcher with a curiosity-driven record who works at the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy
-
. What you bring We are looking for candidates with: A PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a closely related field; A strong publication record in
-
at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
-
) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as
-
executed. In close collaboration with PhD researchers and project partners from TUM and ETH, you will contribute to the development of novel control and learning methods for aerial manipulators and multi
-
the ambition to grow. For more information about LIACS, visit our website. What you bring We are looking for candidates with: A PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision